المؤلفون: Michael Behrisch, Yun-Pang Flötteröd, Peter Wagner

المصدر: SUMO Conference Proceedings, Vol 5 (2024)

مصطلحات موضوعية: Battery Model, Parameterization of PHEMlight, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://www.tib-op.org/ojs/index.php/scp/article/view/1012; https://doaj.org/toc/2750-4425

URL الوصول: https://doaj.org/article/91bfc2ebd7754ce3bb9e8dcf8e375b83

المؤلفون: Aboozar Roosta, Heather Kaths, Mirko Barthauer, Jakob Erdmann, Yun-Pang Flötteröd, Michael Behrisch

المصدر: SUMO Conference Proceedings, Vol 4 (2023)

مصطلحات موضوعية: Microscopic traffic simulation, SUMO, Bicycles, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://www.tib-op.org/ojs/index.php/scp/article/view/215; https://doaj.org/toc/2750-4425

URL الوصول: https://doaj.org/article/9e0bbc9e2af548b5b03e2c25feee1ec9

المؤلفون: Michael Behrisch, Pauline Hartwig

المصدر: SUMO Conference Proceedings, Vol 2 (2022)

مصطلحات موضوعية: traffic simulation, demand, traffic counts, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://www.tib-op.org/ojs/index.php/scp/article/view/107; https://doaj.org/toc/2750-4425

URL الوصول: https://doaj.org/article/057902ed32c04c709b9374df7a685268

المؤلفون: Yun-Pang Flötteröd, Michael Behrisch

المصدر: SUMO Conference Proceedings, Vol 2 (2022)

مصطلحات موضوعية: online simulation, online calibration, Transportation and communications, HE1-9990

وصف الملف: electronic resource

Relation: https://www.tib-op.org/ojs/index.php/scp/article/view/88; https://doaj.org/toc/2750-4425

URL الوصول: https://doaj.org/article/a44d5ab6e3ac44d09f278dac8ce41e50

المؤلفون: Kirschstein Schäfer, Oscar, Behrisch, Michael (Thesis Advisor), Michael Behrisch, Yuncong Yu, Alex Telea

مصطلحات الفهرس: We developed a web-based tool that visually showcases the efficacy of machine learning models by grouping similar data. We tested its usability through various methods, including a "Think Aloud Protocol." The tests suggest it's a useful tool for understanding model performance., Master Thesis, Student Thesis

URL: https://studenttheses.uu.nl/handle/20.500.12932/46014

المؤلفون: Kirschstein Schäfer, Oscar, Behrisch, Michael (Thesis Advisor), Michael Behrisch, Yuncong Yu, Alex Telea

مصطلحات الفهرس: We developed a web-based tool that visually showcases the efficacy of machine learning models by grouping similar data. We tested its usability through various methods, including a "Think Aloud Protocol." The tests suggest it's a useful tool for understanding model performance., Master Thesis, Student Thesis

URL: https://studenttheses.uu.nl/handle/20.500.12932/44910

المؤلفون: Alexandru Telea, Michael Behrisch

المصدر: Data Science for Migration and Mobility ISBN: 9780197267103

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::94ca6752608278aed99340cf39a66e3b
https://doi.org/10.5871/bacad/9780197267103.003.0011

المؤلفون: Yuncong Yu, Dylan Kruyff, Jiao Jiao, Tim Becker, Michael Behrisch

المصدر: IEEE transactions on visualization and computer graphics.

مصطلحات موضوعية: Signal Processing, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45ca4bc82417614c1dbcf4e700780a21
https://pubmed.ncbi.nlm.nih.gov/36170404

المؤلفون: Yuncong Yu, Tim Becker, Le Minh Trinh, Michael Behrisch

المصدر: SSRN Electronic Journal.

مصطلحات موضوعية: Human-Computer Interaction, General Engineering, Computer Graphics and Computer-Aided Design

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8daece26485416104897da0eb11dffe
https://doi.org/10.2139/ssrn.4248588

المؤلفون: Hanspeter Pfister, Hendrik Strobelt, Michael Behrisch, Alexander M. Rush, Sebastian Gehrmann, Adam Perer

المصدر: IEEE Transactions on Visualization and Computer Graphics. 25:353-363

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Artificial Intelligence, Computer science, Process (engineering), media_common.quotation_subject, 02 engineering and technology, Machine learning, computer.software_genre, Data modeling, Encoding (memory), 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE), media_common, Sequence, Computer Science - Computation and Language, business.industry, Deep learning, Computer Science - Neural and Evolutionary Computing, 020207 software engineering, Computer Graphics and Computer-Aided Design, Pipeline (software), Artificial Intelligence (cs.AI), Debugging, Signal Processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Computation and Language (cs.CL), computer, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ddf11ba9d7d8016b7daf4b230c2151c
https://doi.org/10.1109/tvcg.2018.2865044